Temporal management of RFID data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
RFID middleware design: addressing application requirements and RFID constraints
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Warehousing and Analyzing Massive RFID Data Sets
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Reengineering, simulation and data analysis of an RFID system
Journal of Theoretical and Applied Electronic Commerce Research
Multidimensional Analysis of RFID Data in Logistics
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
RFID-enabled shelf replenishment with backroom monitoring in retail stores
Decision Support Systems
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The growing interest in Radio Frequency Identification (RFID) technology in recent years has sparked an intensive debate on the benefits to be expected. With the growth of RFID implementations in size and scope comes a shift away from infrastructural aspects to the question of how to draw value from the large amounts of collected data. However, the necessary procedures for the handling of massive RFID data sets are still an under-researched issue. Against this background, the study presents results from a real-world trial conducted by a large apparel retailer. The objective of the trial was to explore the opportunities for generating novel performance indicators and reports on the reality of store processes and customer behavior on the sales floor. We give an overview of the algorithms used for RFID data processing and the interpretation of the resulting insights from a practitioner's point of view. The case example thus provides an overview of the potential of RFID as a powerful tool for assortment optimization, customer research, store layout design, and other management tasks in retail.